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Machine Learning Engineer Talent Network

Mercor · 100% remote · Contract · Posted

Pay
$70–250/hr
Location
Worldwide
Languages
English
Hours
15-30 hours per week
Openings
Not listed
Level
Experienced
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Summary

Train and evaluate AI models in machine learning engineering, create real-world tasks, and provide domain-specific feedback for frontier AI research.

What you'll do

  • Train and evaluate AI models
  • Create tasks and deliverables based on real-world scenarios
  • Provide domain-specific feedback to advance frontier AI research

Requirements

  • Have professional experience in machine learning model development
  • Use Python and ML frameworks such as PyTorch or TensorFlow
  • Have experience with model deployment and MLOps
  • Communicate effectively
  • Work independently in a remote environment

Skills

  • Machine Learning
  • Python
  • PyTorch
  • TensorFlow
  • MLOps
  • Model Deployment

Full description

About Mercor’s talent network

Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests.

Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.

About Mercor projects

Experts in our network contribute to:

  • Training and evaluating AI models in Machine Learning Engineering

  • Creating tasks and deliverables based on real-world scenarios

  • Providing domain-specific feedback to advance frontier AI research

Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week.

What we're looking for:

  • Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps

  • Strong communication skills

  • Ability to work independently in a remote environment

How it works:

This is not a specific job posting. By applying, you're joining our Machine Learning Engineer talent network. 

  • Apply once: Complete your profile by uploading your resume and confirming your work location.

  • Get verified: We review your credentials and approve qualified experts.

  • Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs.

  • Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.

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